Join a forward-thinking team dedicated to advancing generative AI technologies. In this role, you will lead the design and implementation of machine learning models that power next-generation content generation, translation, and synthesis applications.
Responsibilities
- Develop and refine large language models and diffusion-based architectures
- Optimize model training pipelines for efficiency and scalability
- Collaborate with research and product teams to integrate AI capabilities into production systems
- Ensure models meet performance, safety, and ethical standards
- Diagnose and resolve issues related to model drift, latency, and inference accuracy
Qualifications
- Proven experience with deep learning frameworks such as PyTorch or TensorFlow
- Strong background in natural language processing and transformer architectures
- Familiarity with MLOps tools and cloud-based AI infrastructure
- Ability to communicate technical concepts to cross-functional stakeholders
- Advanced degree in computer science, AI, or a related field preferred
What We Value
Technical excellence, a collaborative mindset, and a commitment to responsible AI development. You should be comfortable working in fast-paced environments where experimentation and iteration are central to progress.
